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Handbook of Memetic Algorithms
2012Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and ...
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Towards Robust Memetic Algorithms
2006This chapter reports the results of Multimeme algorithms that employ adaptive helpers. A Multimeme Algorithm resorts to a variety of local search neighborhoods for its local search stage allowing for a more robust global search. Each neighborhood is explored by an adaptive helper that allows non-improving moves that render the Memetic algorithm even ...
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Memetic Algorithms in Continuous Optimization
2012Intuitively, a set is considered to be discrete if it is composed of isolated elements, whereas it is considered to be continuous if it is composed of infinite and contiguous elements and does not contain “holes”.
Cotta, Carlos, Neri, Ferrante
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Noisy intermediate-scale quantum algorithms
Reviews of Modern Physics, 2022Kishor Bharti +2 more
exaly
Quantum Information and Algorithms for Correlated Quantum Matter
Chemical Reviews, 2021Kade Head-Marsden +2 more
exaly

